Which security practice matters most for regulated sector AI?

Most answers emphasize governance and oversight as foundational, though some focus on practical steps like inventorying AI use, protecting personal data, or implementing workflow-level controls.

5 answers

Answers

  • Danny Manimbo

    Managing Principal · Schellman

    Management Oversight

    Danny Manimbo says management oversight is the one he can't underscore: if AI governance sits solely with a compliance manager, programs die, because they need ownership upward and laterally across business units.

    The answer starts at 21:05.

    CyberWire Daily · Listen on Apple Podcasts
  • Brennan Baybeck

    SVP & CISO - Customer Success Services · Oracle

    Strong Governance

    Brennan Baybeck says that to him it comes back to strong governance, calling it essential.

    SiliconANGLE theCUBE · Watch on YouTube
  • Mandy Andress

    CISO · Elastic

    Inventory AI Usage

    Mandy Andress says the first priority is to inventory AI usage within the organization, since without knowing where it's used and for what objectives, it's much harder to put controls and structure around it.

    The answer starts at 15:01.

    The Control Layer with Amer Altaf · Listen on Apple Podcasts
  • Julian Tang

    COO for Innovation Office · BlackRock

    Protect Personal Data

    Julian Tang says protect personal data: regulated sectors already apply the same effort and requirements to PII that they need to ensure AI protects personal information with the right controls.

    The AI in Business Podcast · The AI in Business Podcast · Listen at 14:23
  • Shahir Daya

    Chief Product & Technology Officer · Zafin

    Workflow-Level Controls

    Shahir Daya says the first move is to define controls at the workflow level, not the agent level, because agent-level controls will not scale: one agent can span many workflows and one workflow can use many agents.

    The AI in Business Podcast · The AI in Business Podcast · Listen at 21:40

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